Invasion Alert—A Machine Learning-based Platform for Invasive Ant Detection and Recognition (Old ID 27268)
Role
Principal Investigator
Description
For control/eradication measures to be effective, early detection of invasive ants is essential. Current conventional methods require taxonomic expertise and are time and labour intensive. This project will develop a vision-based platform that uses machine learning for the real-time detection and identification of established invasive ants in Australia. This will provide an automated, cost-effective monitoring tool that can speed up the detection and identification process, thus enable efficient and timely response to the potential spread of these species.
Date
01 Jul 2021 - 30 Jun 2023
Project Type
GRANT
Keywords
Machine Learning;Pest Control;Detection;Invasive Ants;Artificial Intelligence;Biosecurity
Funding Body
Australian Government Department of Agriculture, Water and the Environment
Amount
61368
Project Team
N/A